analytics & monitoring向けのClaudeスキルを発見してください。47個のスキルを閲覧し、AIワークフローに最適な機能を見つけましょう。
Diagnoses and resolves Azure production issues using AI-powered diagnostics, log analysis, and system health checks.
Queries and analyzes big data in Azure Data Explorer using Kusto Query Language (KQL) for logs, telemetry, and time series insights.
Implements and enforces comprehensive Sentry v8 error tracking and performance monitoring across TypeScript and Node.js services.
Enhances the Claude Code interface with customizable, multi-line statuslines featuring real-time cost tracking and Git indicators.
Enhances code observability by inserting purposeful, non-intrusive debug logs into critical execution paths.
Visualizes your real-time coding activity on an interactive 3D global developer map.
Generates comprehensive software development lifecycle reports, metrics dashboards, and executive summaries to track project health and velocity.
Streamlines incident classification, severity assessment, and response coordination for production outages and service disruptions.
Generates comprehensive SDLC reports, performance metrics, and executive summaries to track software development progress and project health.
Streamlines incident response with rapid severity classification, automated coordination, and structured post-mortem documentation.
Monitors and analyzes regression statistics to track software health, identify hotspots, and improve detection speed.
Detects and analyzes performance regressions across software versions using statistical significance testing and automated benchmarking.
Performs systematic performance profiling and optimization for Node.js, Python, and Go applications.
Conducts multi-dimensional organizational health assessments using stage-specific benchmarks and predictive cascade analysis.
Manages the end-to-end incident response lifecycle, from severity classification and timeline reconstruction to root cause analysis and postmortem generation.
Designs and implements statistically rigorous A/B tests and product experiments to ensure actionable, data-driven results.
Provides strategic revenue leadership guidance for B2B SaaS companies, covering sales models, pricing strategy, and pipeline management.
Implements end-to-end web analytics and tracking plans using GA4, GTM, and conversion pixels for SaaS products.
Instruments mobile user flows with intent context and friction signals to pinpoint exactly where and why users fail in multi-step processes.
Measures and optimizes the time between user taps and action completion in mobile applications.
Instruments mobile API requests with distributed tracing and performance spans to monitor latency and correlate client-side issues with backend logs.
Streamlines Sentry release workflows by automating source map uploads, deployment tracking, and release health monitoring.
Configures and initializes Sentry SDKs across multiple platforms to enable robust error tracking and performance observability.
Standardizes production incident management with specialized playbooks for on-call engineering and post-mortem documentation.
Captures, enriches, and manages application errors using Sentry to improve observability and debugging efficiency.
Implements full-stack observability with Sentry to track application performance, distributed tracing, and real-time metrics.
Configures automated Sentry alerts, triages software issues, and manages cross-platform notification workflows to maintain system reliability.
Analyzes and triages recent Sentry errors to identify root causes, patterns, and user impact across software projects.
Coordinates production incident response workflows using Sentry alerts, automated root cause analysis, and mitigation strategies.
Analyzes Sentry performance monitoring data to identify latency bottlenecks, slow database queries, and regression patterns.
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